SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Tushar Chandra; Craig Boutilier (IJCAI, 2019)

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Morgane Lustman; Vince Gatto; Paul Covington; Jim McFadden; Tushar Chandra; et al. (CoRR, 2019)

RecSim: A Configurable Simulation Platform for Recommender Systems. - Eugene Ie; Chih-Wei Hsu; Martin Mladenov; Vihan Jain; Sanmit Narvekar; Jing Wang; Rui Wu 020; Craig Boutilier (CoRR, 2019)

Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing. - Ge Liu; Rui Wu 020; Heng-Tze Cheng; Jing Wang; Jayden Ooi; Lihong Li 001; Ang Li; Wai Lok Sibon Li; Craig Boutilier; Ed H. Chi (CoRR, 2020)